xml转labelme的json
时间: 2023-11-17 13:09:30 浏览: 93
将XML文件转换为LabelMe的JSON文件可以使用以下步骤:
1. 安装Python的xmltodict和json模块,可以使用以下命令进行安装:
```python
pip install xmltodict
pip install json
```
2. 读取XML文件并将其转换为字典格式:
```python
import xmltodict
with open('example.xml') as xml_file:
data_dict = xmltodict.parse(xml_file.read())
```
3. 从字典中提取有用的信息并将其转换为LabelMe的JSON格式:
```python
import json
# 从字典中提取有用的信息
image_name = data_dict['annotation']['filename']
image_height = int(data_dict['annotation']['size']['height'])
image_width = int(data_dict['annotation']['size']['width'])
shapes = []
for obj in data_dict['annotation']['object']:
label = obj['name']
xmin = int(obj['bndbox']['xmin'])
ymin = int(obj['bndbox']['ymin'])
xmax = int(obj['bndbox']['xmax'])
ymax = int(obj['bndbox']['ymax'])
points = [[xmin, ymin], [xmax, ymin], [xmax, ymax], [xmin, ymax]]
shape = {
"label": label,
"points": points,
"group_id": None,
"shape_type": "polygon",
"flags": {}
}
shapes.append(shape)
# 将信息转换为LabelMe的JSON格式
labelme_data = {
"version": "4.5.6",
"flags": {},
"shapes": shapes,
"imagePath": image_name,
"imageData": None,
"imageHeight": image_height,
"imageWidth": image_width
}
# 将JSON数据写入文件
with open('example.json', 'w') as json_file:
json.dump(labelme_data, json_file)
```
这将生成一个名为“example.json”的LabelMe JSON文件,其中包含从XML文件中提取的有用信息。
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